Patentable/Patents/US-9645106
US-9645106

Monolithically integrated hybridisation sensor assembly and associated production method

PublishedMay 9, 2017
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

A monolithically integrated sensor assembly is for detecting molecules that are potentially contained in an analyte. The assembly includes: a substrate; at least one sensor electrode, which is located on or in the substrate and is coated with a sensor-active layer, on which electrochemically active particles are generated in the present of the molecules to be detected, the particles being detected via an electric sensor signal on the sensor electrode(s); at least one additional electrode that is located on or in the substrate; and an operating circuit that is integrated into the substrate for controlling the sensor electrode and the additional electrode(s).

Patent Claims

Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.

Claims not yet imported for this patent.

Claims are being imported from USPTO data. Check back soon!

Classification Codes (CPC)

Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.

Patent Metadata

Filing Date

June 27, 2005

Publication Date

May 9, 2017

Want to explore more patents?

Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.

Citation & reuse

Analysis on this page is generated by Patentable — an AI-powered patent intelligence platform. AI-generated summaries, explanations, FAQs, and analysis may be reused with attribution and a visible link back to the canonical URL below. Patent abstracts and claims are USPTO public domain.

Cite as: Patentable. “Monolithically integrated hybridisation sensor assembly and associated production method” (US-9645106). https://patentable.app/patents/US-9645106

© 2026 Nomic Interactive Technology LLC. Machine-readable context available at /api/llm-context/US-9645106. See llms.txt for full attribution policy.